The use of drones in determining the location of underground water reservoirs using an airborne magnetometer; Case Study

The use of drones in determining the location of underground water reservoirs using an airborne magnetometer; Case Study | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The use of drones in determining the location of underground water reservoirs using an airborne magnetometer; Case Study Alireza Ajalli, Farhad Samimi Namin This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7665709/v1 This work is licensed under a CC BY 4.0 License Status: Under Revision Version 1 posted 5 You are reading this latest preprint version Abstract The mining industry has shown more interest in using drones for routine operations. Mining development requires continuous management because it causes rapid topographic changes and environmental damage. Drones can be used to generate 3D spatial information by quickly and accurately photographing areas that are difficult or dangerous for humans to approach. These programs include three-dimensional mapping of the mine environment, ore control, bedrock discontinuity mapping, tailings stability monitoring, and determination of water reserves in order to identify the source of feeding the underground water table, as well as how to direct water to the mining area of ​​the pit. The presence of water in mines is one of the important parameters in the instability of the walls, in addition to the disturbance it causes in the mining operation. Undoubtedly, sufficient knowledge of the underground water regime around the mine and the hydraulic characteristics of the geological layers is effective in controlling the incoming underground water. To determine the amount of water in the area and to identify water reserves, different geophysical methods such as magnetometry, etc. Combining drones and magnetometric sensors allows identification operations to be performed much faster and more easily. In this study, using a drone equipped with an airborne magnetometer sensor, the state of anomalies in the area was investigated, and after adjusting the parameters, the volume of reserves and their location were determined to control the influx of groundwater after the extraction operations. drones remote sensing mine water monitoring abandoned mining drone photogrammetry digital surface model Full Text Cite Share Download PDF Status: Under Revision Version 1 posted Editorial decision: Major Revisions Needed 17 Nov, 2025 Reviewers agreed at journal 16 Oct, 2025 Reviewers invited by journal 15 Oct, 2025 Editor assigned by journal 22 Sep, 2025 First submitted to journal 20 Sep, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7665709","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":530343520,"identity":"404bf632-8661-4930-b8ff-9f070ca573f1","order_by":0,"name":"Alireza 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